<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Sales for a Clothing Retailer</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<link rel="stylesheet" type="text/css" href="R.css" />
</head><body>

<table width="100%" summary="page for Clothing"><tr><td>Clothing</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Sales for a Clothing Retailer</h2>

<h3>Description</h3>

<p>Data on 60 customers at a clothing retailer
</p>


<h3>Format</h3>

<p>A data frame with 60 observations on the following 8 variables.
</p>

<table summary="Rd table">
<tr>
 <td style="text-align: right;">
    <code>ID</code> </td><td style="text-align: left;"> Case ID</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Amount</code> </td><td style="text-align: left;"> Net dollar amount spent by customers in their latest purchase from this retailer</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Recency</code> </td><td style="text-align: left;"> Number of months since the last purchase</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Freq12</code> </td><td style="text-align: left;"> Number of purchases in the last 12 months</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Dollar12</code> </td><td style="text-align: left;"> Dollar amount of purchases in the last 12 months</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Freq24</code> </td><td style="text-align: left;"> Number of purchases in the last 24 months</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Dollar24</code> </td><td style="text-align: left;"> Dollar amount of purchases in the last 24 months</td>
</tr>
<tr>
 <td style="text-align: right;">
    <code>Card</code> </td><td style="text-align: left;"> 1 for customers who have a private-label credit card with the retailer, 0 if not</td>
</tr>
<tr>
 <td style="text-align: right;">
  </td>
</tr>

</table>



<h3>Details</h3>

<p>This dataset represents a random sample of 60 customers from a large clothing
retailer.  The manager of the store is interested in predicting how much a customer
will spend on his or her next purchase based on one or more of the available
explanatory variables.
</p>


<h3>Source</h3>

<p>Personal communication with David Cameron who completed a more extensive consulting project for the retailer.
</p>


</body></html>
